Haowen Ren

Title: Haowen Ren: Innovator in Battery Health Detection and Electric Load Forecasting

Introduction

Haowen Ren is a prominent inventor based in Shanghai, China. He has made significant contributions to the fields of battery health detection and electric load forecasting. With a total of 2 patents, his work is recognized for its innovative approaches and practical applications.

Latest Patents

One of Haowen Ren's latest patents is titled "Method, system, device and medium for detecting battery state of health." This invention discloses a comprehensive method for assessing the health of batteries. It involves extracting a target curve segment from a first charging characteristic curve of a battery under test. The method determines the battery's state of health by analyzing the relationship between characteristic parameters of the target curve segment and the battery's health. This innovation enhances the reliability and accuracy of battery health detection. Additionally, it tracks abusive conditions that may accelerate battery aging, providing warnings when necessary.

Another notable patent is the "Method and device for forecasting electric load, and electronic device." This invention outlines a method for predicting electric load by utilizing historical load data. The process includes generating a load sequence, performing variational mode decomposition, and inputting the results into forecasting models. This method allows for accurate load value predictions on forecast dates, showcasing Haowen Ren's expertise in energy management.

Career Highlights

Haowen Ren is currently employed at Shanghai Makesens Energy Storage Technology Co., Ltd. His role at the company allows him to apply his innovative ideas in real-world applications, contributing to advancements in energy storage technology.

Collaborations

Haowen has collaborated with notable coworkers, including Peng Ding and Weikun Wu. Their combined efforts in research and development have furthered the impact of their innovations in the energy sector.

Conclusion

Haowen Ren's contributions to battery health detection and electric load forecasting demonstrate his commitment to innovation in energy technology. His patents reflect a deep understanding of the challenges in the field and provide practical solutions that enhance efficiency and reliability.